Changes in version 1.1.0 (2025-07-20) New features - Added comprehensive vignette "Introduction to PRIDIT Analysis" demonstrating the methodology with practical examples - Enhanced documentation with detailed workflow examples - Added support for healthcare quality assessment and fraud detection use cases Minor improvements - Updated package dependencies to support vignettes - Improved README with CRAN badge Changes in version 1.0-4 (2025-07-11) Changes for CRAN resubmission - Removed unnecessary single quotes from author names in DESCRIPTION - Fixed spacing issues in DESCRIPTION field - All issues from previous submissions have been addressed Changes for CRAN resubmission - Removed unnecessary single quotes from author names in DESCRIPTION - Fixed spacing issues in DESCRIPTION field - All issues from previous submissions have been addressed Changes in version 1.0-3 Changes for CRAN resubmission - Fixed invalid LICENSE URI in README.md - All issues from previous submissions have been addressed Changes in version 1.0-2 Changes for CRAN resubmission - Fixed additional CRAN issues: - Corrected invalid DOI reference in ridit function documentation - Changed license specification to computable format (Apache-2.0) - Removed LICENSE file as requested by CRAN maintainers Changes in version 1.0-1 Changes for CRAN resubmission - Fixed DESCRIPTION file issues identified by CRAN automated checks: - Added single quotes around technical terms to address spelling NOTEs - Removed obsolete 'RoxygenType' field - Changed license specification to reference LICENSE file - All NOTEs from previous submission (1.0.0) have been addressed Changes in version 1.0.0 Initial CRAN release - Implements ridit scoring as developed by Bross (1958) and modified by Brockett et al. (2002) - Calculates PRIDIT weights using Principal Component Analysis - Computes final PRIDIT scores for multivariate analysis of ordinal data - Comprehensive test suite with 100% function coverage - Full documentation with working examples for all functions - Includes sample dataset for testing and demonstration